openpencil/scripts/ab-corpus/run.ts
Fini 6e54054c73 chore(merge): integrate origin/v0.8.0 — main pre-release sync + CI fixes
origin's v0.8.0 had cherry-picks of the v0.7.5 deepseek/image-search
fixes (a727632a, a5952bc8) overlapping local 2073cf5b / 04f4fbc1, plus
new commits (model-selector ark-coding deepseek-v4-pro/flash IDs that
ARK rejects, fetch error.cause unwrap, CI agent-native build, op
export docs cleanup, main merge). Resolved the ark-coding list in
favor of HEAD's deepseek-v3.2 entry (only model ARK Coding Plan
actually supports — see openpencil-docs note).
2026-04-27 08:15:00 +08:00

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#!/usr/bin/env bun
/**
* Element-tools A/B corpus eval — harness entry point.
*
* Usage:
* bun scripts/ab-corpus/run.ts --dry-run # stub model, exercises pipeline
* bun scripts/ab-corpus/run.ts --dry-run --out ./tmp-out # custom output dir
* bun scripts/ab-corpus/run.ts --models minimax-m2,glm-5 # real run (needs API keys)
* bun scripts/ab-corpus/run.ts --only mobile-filter-chips # single prompt
*
* Spec: ~/workspace/openpencil-docs/superpowers/plans/2026-04-20-element-tools-ab-corpus.md
*/
import { mkdirSync } from 'node:fs';
import { join } from 'node:path';
import { fileURLToPath } from 'node:url';
import { parseModelOutput, scoreRun, aggregate, type ScoreRow } from '@zseven-w/pen-ai-skills';
// Node-only: pulls in `node:fs`, so it's NOT re-exported from the
// package barrel (which must stay browser-safe for the embedded
// orchestrator's design-parser). Package.json `exports` only declares
// the main entry, so sub-path imports via the package name fail at
// runtime — use a relative path to the source file instead. Harness
// runs under Bun from the repo root so this path is stable.
import { loadCorpus } from '../../packages/pen-ai-skills/src/corpus/corpus-loader';
import { applyToFreshDoc } from './apply';
import { stubModelCall, type ModelCall } from './stub-model';
import { realModelCall } from './real-model';
import { writeReport } from './write-report';
interface CliArgs {
dryRun: boolean;
models: string[];
only?: string;
outDir: string;
corpus: 'ab-v0' | 'ab-v1';
}
function parseArgs(argv: string[]): CliArgs {
const args: CliArgs = {
dryRun: false,
// Default matches plan §2 after the 2026-04-20 update: user supplied
// MiniMax M2.7 as the weak-model candidate and Codex CLI (GPT-5.4)
// as the reference ceiling. Claude / GLM / KIMI are not in the
// default set until keys / adapters land.
models: ['gpt-5.4', 'minimax-m2.7'],
outDir: defaultOutDir(),
corpus: 'ab-v0',
};
for (let i = 0; i < argv.length; i += 1) {
const a = argv[i];
if (a === '--dry-run') args.dryRun = true;
else if (a === '--models') args.models = (argv[++i] ?? '').split(',').filter(Boolean);
else if (a === '--only') args.only = argv[++i];
else if (a === '--out') args.outDir = argv[++i] ?? args.outDir;
else if (a === '--corpus') {
const v = argv[++i];
if (v !== 'ab-v0' && v !== 'ab-v1') {
process.stderr.write(`--corpus must be 'ab-v0' or 'ab-v1', got: ${v}\n`);
process.exit(1);
}
args.corpus = v;
} else if (a === '--help' || a === '-h') {
printUsage();
process.exit(0);
}
}
return args;
}
function defaultOutDir(): string {
const ts = new Date().toISOString().replace(/[:.]/g, '-');
return join(fileURLToPath(new URL('.', import.meta.url)), 'runs', ts);
}
function printUsage(): void {
process.stderr.write(
`Usage: bun scripts/ab-corpus/run.ts [--dry-run] [--models ID,ID,...] [--only prompt-id] [--out DIR] [--corpus ab-v0|ab-v1]\n`,
);
}
async function main(): Promise<void> {
const args = parseArgs(process.argv.slice(2));
const corpusDir = join(
fileURLToPath(new URL('.', import.meta.url)),
'..',
'..',
'packages',
'pen-ai-skills',
'corpus',
args.corpus,
);
const prompts = loadCorpus(corpusDir).filter((p) => (args.only ? p.id === args.only : true));
if (prompts.length === 0) {
process.stderr.write(
`No prompts matched (--only=${args.only ?? 'none'}). Corpus dir: ${corpusDir}\n`,
);
process.exit(1);
}
mkdirSync(args.outDir, { recursive: true });
process.stderr.write(
`Running ${prompts.length} prompts × ${args.models.length} models × 2 variants = ${prompts.length * args.models.length * 2} runs\n`,
);
process.stderr.write(`Output: ${args.outDir}\n`);
process.stderr.write(`Mode: ${args.dryRun ? 'DRY-RUN (stub model)' : 'LIVE'}\n\n`);
// Stream scores to scores.jsonl as each run completes so a
// kill-at-minute-30 (hung API call, accidental ^C) doesn't lose
// all results. Final report.md still requires a full sweep for
// aggregate counts — but scores.jsonl alone is useful for any
// partial-run analysis.
const scoresPath = join(args.outDir, 'scores.jsonl');
// eslint-disable-next-line @typescript-eslint/no-require-imports
const fs = require('node:fs') as typeof import('node:fs');
// Truncate on start so a re-run into the same dir overwrites.
fs.writeFileSync(scoresPath, '', 'utf-8');
const rows: ScoreRow[] = [];
for (const prompt of prompts) {
for (const model of args.models) {
for (const variant of ['B', 'T'] as const) {
const call: ModelCall = {
model,
prompt,
variant,
systemPrompt: '<resolved in dispatcher>',
userPrompt: prompt.prompt,
};
let raw: string;
try {
raw = args.dryRun ? await stubModelCall(call) : await realModelCall(call);
} catch (err) {
// Network / subprocess failure → treat as garbage so the
// run still scores (M1=false, routing='garbage' for obvious
// treatment). Beats aborting a 96-run sweep over one
// transient failure.
raw = `__HARNESS_ERROR__: ${err instanceof Error ? err.message : String(err)}`;
}
const parsed = parseModelOutput(raw);
const row = await scoreRun({
prompt,
parsed,
apply: applyToFreshDoc,
model,
variant,
});
rows.push(row);
// Append this row to scores.jsonl immediately — durable
// partial state for crash recovery.
fs.appendFileSync(scoresPath, JSON.stringify(row) + '\n', 'utf-8');
}
}
process.stderr.write(` · ${prompt.id}\n`);
}
const report = aggregate(rows);
const { mdPath, jsonPath } = writeReport(args.outDir, report);
process.stderr.write(`\nReport: ${mdPath}\n`);
process.stderr.write(`JSON: ${jsonPath}\n`);
process.stderr.write(`Scores: ${join(args.outDir, 'scores.jsonl')}\n`);
}
main().catch((err) => {
process.stderr.write(`\nFATAL: ${err instanceof Error ? err.stack : String(err)}\n`);
process.exit(1);
});